I am trying to train a SVR but I found that with some combination of features, the trained SVR predict every point in test set to the same value. this problem occurs much more when I use linear kernel than other kernels. The parameters are: C=1, gamma=0.5. My question is what leads to this kind of problem. Is there a name for this phenomenon? Thank you!

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    $\begingroup$ Please provide minimal reproducible code along with your expected output. $\endgroup$ Jun 22 '19 at 18:30

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